AbstractIn this paper, a general matrix structure for shortened turbo product codes (TPC) and an improved decoding algorithm based on Chase decoder are presented. In the proposed algorithm, the decoding complexity is decreased by reducing the number of candidate codewords and, an efficient method to estimate the extrinsic information without competing codeword is designed, too. Compared with the conventional algorithm, simulation results show that considerable coding gains can be obtained by the proposed decoding algorithm with decreasing decoding complexity
In this paper, an effective stopping scheme for reduced-complexity iterative decoding of short-frame...
Abstract—This paper introduces the Modified Adaptive Belief Propagation (m-ABP) algorithm, an innova...
We propose a binary message passing decoding algorithm for product codes based on generalized minimu...
AbstractIn this paper, a general matrix structure for shortened turbo product codes (TPC) and an imp...
Block turbo codes (BTCs) under iterative decoding are product codes showing excellent performance wi...
Block turbo codes (BTCs) are constructed by serially concatenating linear block codes and iterativel...
International audienceWe present a low-complexity architecture designed for the decoding of block tu...
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
For effective communication to take place between a source and a destination the emphasis lies on th...
Turbo product codes (TPCs) provide an attractive alternative to recursive systematic convolutional (...
In this letter, we study turbo product codes with quadratic residue codes (called QR-TPCs) as the co...
Turbo coding has already become a prominent error correction technique for wireless communications, ...
Product coding produces powerful long codes from short constituent codes. The conventional row-colum...
International audienceThis article presents an innovative turbo product code (TPC) decoder architect...
Turbo coding is one of the best channel coding procedures presented to the coding community in the r...
In this paper, an effective stopping scheme for reduced-complexity iterative decoding of short-frame...
Abstract—This paper introduces the Modified Adaptive Belief Propagation (m-ABP) algorithm, an innova...
We propose a binary message passing decoding algorithm for product codes based on generalized minimu...
AbstractIn this paper, a general matrix structure for shortened turbo product codes (TPC) and an imp...
Block turbo codes (BTCs) under iterative decoding are product codes showing excellent performance wi...
Block turbo codes (BTCs) are constructed by serially concatenating linear block codes and iterativel...
International audienceWe present a low-complexity architecture designed for the decoding of block tu...
Two soft-input-soft-output iterative decoding algorithms for product code were studied and developed...
For effective communication to take place between a source and a destination the emphasis lies on th...
Turbo product codes (TPCs) provide an attractive alternative to recursive systematic convolutional (...
In this letter, we study turbo product codes with quadratic residue codes (called QR-TPCs) as the co...
Turbo coding has already become a prominent error correction technique for wireless communications, ...
Product coding produces powerful long codes from short constituent codes. The conventional row-colum...
International audienceThis article presents an innovative turbo product code (TPC) decoder architect...
Turbo coding is one of the best channel coding procedures presented to the coding community in the r...
In this paper, an effective stopping scheme for reduced-complexity iterative decoding of short-frame...
Abstract—This paper introduces the Modified Adaptive Belief Propagation (m-ABP) algorithm, an innova...
We propose a binary message passing decoding algorithm for product codes based on generalized minimu...